Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University.
J Exp Psychol Learn Mem Cogn. 2021 Aug;47(8):1246-1263. doi: 10.1037/xlm0000988. Epub 2021 Feb 4.
Visual statistical learning (VSL) occurs when participants are exposed to spatially or temporally ordered stimuli, and become increasingly sensitive to them without explicitly realizing the hidden regularities. In the temporal domain of VSL, participants are usually exposed to shape-triplets, followed by the use of familiarity judgments and recognition tasks to directly probe VSL. Other methods, such as the rapid serial visual presentation (RSVP) task, indirectly probe the learning of temporal sequences, and provide evidence of learning within the triplets. Despite the RSVP's success, however, previous implementations of the RSVP task have only pseudorandomized the triplets to form the test sequence, such that the task permits only two stream locations for a given target shape (belonging to a certain within-triplet position), out of six available locations. These fixed locations may result in confounded response time (RT) findings and potentially lead to an overestimation of a weak (or nonexistent) VSL effect. In this study, we conduct 4 experiments and show that the previously reported VSL effect in RSVP is eliminated when the RSVP stream is fully counterbalanced (Experiment 1), and resurfaces again when the RSVP stream returns to its original pseudorandomized design (Experiment 2). Importantly, in both, we observe a "stream location effect," where RT gradually becomes faster to reflect the hazard rate of target appearance, which may have been the factor driving previously reported VSL effects. Follow-up experiments show that results from Experiment 1 are not due to the absence of implicit learning (Experiment 3), although the stream location effect can occur without any learning, suggesting that it is something inherent to the RSVP task (Experiment 4). Together, these results identify an influential effect, the stream location effect, inherently present in the RSVP task, and show how misinforming the RSVP task can be, when not used with properly controlled parameters, and demand a reexamination of the effects found in previous studies which could have been the effect of detection stream locations, misconstrued as VSL. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
视觉统计学习(VSL)发生在参与者接触到空间或时间上有序的刺激时,他们会在没有明确意识到隐藏规律的情况下,对这些刺激变得越来越敏感。在 VSL 的时间领域,参与者通常会接触到形状三联体,然后使用熟悉度判断和识别任务直接探测 VSL。其他方法,如快速序列视觉呈现(RSVP)任务,则间接地探测时间序列的学习,并提供三联体内部学习的证据。然而,尽管 RSVP 取得了成功,但之前的 RSVP 任务实现仅对三联体进行伪随机化以形成测试序列,因此任务仅允许给定目标形状(属于特定三联体位置)有两个流位置,而六个可用位置中只有两个。这些固定位置可能导致响应时间(RT)结果混淆,并可能导致对较弱(或不存在)VSL 效应的高估。在这项研究中,我们进行了 4 项实验,结果表明,当 RSVP 流完全平衡时(实验 1),先前报告的 RSVP 中的 VSL 效应会被消除,而当 RSVP 流恢复到原始伪随机设计时(实验 2),该效应又会重新出现。重要的是,在这两种情况下,我们都观察到了“流位置效应”,其中 RT 逐渐变快,以反映目标出现的危险率,这可能是驱动先前报告的 VSL 效应的因素。后续实验表明,实验 1 的结果并非由于缺乏内隐学习(实验 3)所致,尽管流位置效应可能在没有任何学习的情况下发生,这表明它是 RSVP 任务固有的因素(实验 4)。总之,这些结果确定了一种有影响力的效应,即 RSVP 任务中固有的流位置效应,并表明如果不使用适当控制的参数,RSVP 任务可能会产生误导,并且需要重新检查以前的研究结果,这些结果可能是由于检测流位置的影响,而被误解为 VSL。